Is your organization undergoing a digital transformation? Is your IT department under pressure to move all the applications and infrastructure to the cloud? An increasing number of organizations today are looking to iPaaS solutions that provide integrated software and hardware stacks for quick deployments, management, and a higher ROI. SaaS products like Salesforce, Workday, and ServiceNow have the system of records in the cloud which is another reason companies are moving to the cloud.
You can connect to MuleSoft’s Virtual Private Cloud in multiple ways. IPsec tunnel is one of the ways you can connect an Anypoint Virtual Private Cloud (Anypoint VPC) to your private network. However, VPN setup can be challenging to many customers, this blog will walk you through the process of creating an IPsec tunnel between your on-premise data center and MuleSoft CloudHub in 10 simple steps.
In my previous blog, we covered some of the options for connectors that support Kerberos, today we will focus on two more connectors where Kerberos use cases frequently pop-up: the Anypoint Connector for Hadoop.
In my previous blog, I wrote about Kerberos support in MuleSoft, so it seems only natural to discuss the other place where Kerberos fits into the API ecosystem. Not only can Kerberos be used to secure APIs hosted or proxied by MuleSoft, but certain third-party systems can use or even require Kerberos for their security.
With as many systems of record available in the cloud– from SaaS applications like Salesforce to Netsuite –the need for a cloud-based enterprise messaging solution has now become necessary to support high availability, scalability, and reliability patterns in an Integration Platform as a Service (iPaaS) solution, such as MuleSoft’s CloudHub.
Anypoint Platform offers a wide variety of Anypoint Connectors to facilitate easy integration with third-party applications. But what kinds of connectors are available in Anypoint Exchange and what are the most downloaded connectors for 2017?
MuleSoft’s DataWeave, which is now the main expression language in Mule 4 beta, is a powerful technology that can efficiently transform complex structured data between popular data formats, including JSON, XML, CSV, and Java objects. I’m a courseware developer and trainer at MuleSoft, and I’ve been spending a lot of time learning about DataWeave recently.
Update, April 2018
I previously posted the below blog on how to reuse DataWeave code in a Mule flow using the readUrl() function.
Everyone is very excited about chatbots as the future of messaging, customer service, information delivery, etc. Facebook touts Messenger bots as AI (e.g. Jarvis) and the press gets excited about how they will change the world. But really, bots are essentially an ESB that listens for keywords and routes responses back to the user. This project will show you how to build one using Anypoint Platform.
This example project provides a framework to build a Facebook Messenger Bot that can leverage APIs built on Anypoint Platform.
A core component of the continuous integration process, that includes the previously discussed test automation framework, is the build process. As soon as the developer commits the code to version control repository, the build tool compiles the source code runs unit and integration tests and generates feedback for the developers.
CloudHub is the Anypoint Platform which provides a fully-managed, multi-tenanted, globally available, secure and highly available cloud platform for integration and APIs as a service (iPaaS).It is managed via the Runtime Manager console.
MuleSoft provides the most widely used integration platform for connecting any application, data source or API, whether in the cloud or on-premises. With Anypoint Platform®, MuleSoft delivers a complete integration experience built on proven open source technology, eliminating the pain and cost of point-to-point integration. Anypoint Platform includes CloudHub™ iPaaS, Mule ESB™, and a unified solution for API management™, design and publishing.